Comparing Anomalies Using Liquidity and Earnings
Abstract: We compare three factor models and their ability to explain a set of portfolio anomalies.
Two of these models are based on market capitalization which most of the industry
currently uses to characterize stocks. We replace this line of thinking by utilizing both
earnings and liquidity to construct a competing model, which is intuitive to practitioners.
Partitioning and characterizing stock returns in this way enables us to dispel some of the
most challenging asset pricing anomalies. Historically, investors have concerned themselves
with our proposed stock descriptors for far longer than they have with value and
size characteristics.
